Predictive & Prescriptive Analytics • 06/05/2026 Predictive maintenance for hotels: the IoT and AI stack that finally makes the business case
Predictive & Prescriptive Analytics • 16/06/2026 Group business displacement: the AI decision model that tells you when to decline the conference RFP
Machine Learning Use Cases • 13/06/2026 Hotel staffing optimization: how AI scheduling aligns labor to demand and reduces agency spend
Data Strategy & Architecture • 16/02/2026 How kassensystem hotels reshape guest experience and revenue intelligence
Predictive & Prescriptive Analytics • 11/08/2026 From intent to stay: predictive analytics for holiday rental booking abandonment reasons and solutions Explore why holiday rental booking abandonment is primarily a data problem, and how predictive and prescriptive analytics can turn abandoned bookings into higher conversion rates, stronger trust, and more profitable direct bookings. by Selene Nightingale
Machine Learning Use Cases • 31/07/2026 Length-of-stay prediction: the overbooking model that balances revenue against walk risk Learn how hotel overbooking AI prediction and length-of-stay modeling move revenue management beyond blunt averages, turning walk risk into a controlled, data-driven decision while protecting guest experience.
Predictive & Prescriptive Analytics • 07/07/2026 Dynamic pricing for independent hotels: entry-level RMS options that deliver without enterprise budgets Learn how independent hotels can adopt dynamic pricing and entry-level Revenue Management Systems (RMS) like RoomPriceGenie, Atomize, and happyhotel, with clear cost-benefit math, key figures, and a concrete mini case study on ADR and RevPAR uplift.
Predictive & Prescriptive Analytics • 01/07/2026 How AI powered predictive analytics is redefining revenue management hotellerie Learn how AI-driven hotel revenue management is evolving from static dashboards to predictive forecasting and dynamic pricing, with data foundations, labor optimization, benchmarks, and the changing role of revenue managers in hospitality. by Nina Valencia
Occupancy forecasting for F&B and spa: the ancillary revenue prediction layer hotels underuse Predictive & Prescriptive Analytics • 30/06/2026 Occupancy forecasting for F&B and spa: the ancillary revenue prediction layer hotels underuse Learn how to turn hotel occupancy forecasting into accurate F&B and spa demand predictions, optimise staffing and waste, and build a total revenue strategy that lifts ancillary revenue per occupied room.
Predictive & Prescriptive Analytics • 25/06/2026 Cluster revenue optimization: how AI allocates demand across a multi-property portfolio Learn how multi-property revenue optimization AI helps hotel groups shift from property-level tactics to portfolio-wide strategy, with concrete examples, data architecture guidance and implementation risks to manage.
Machine Learning Use Cases • 12/06/2026 Revenue management during disruption: how ML models handle sudden demand shocks and why most fail How hotel revenue management AI behaves under demand disruption, why ML models fail during shocks, and how human in the loop design protects RevPAR.
Predictive & Prescriptive Analytics • 02/06/2026 Competitor rate intelligence: what AI scraping reveals about your compset's pricing strategy Discover how AI-driven hotel rate intelligence transforms static rate shopping into real-time, predictive revenue insights while staying compliant with legal and ethical standards.
Predictive & Prescriptive Analytics • 14/05/2026 90% demand forecasting accuracy: what it changes for a GM running a 300-room property How hotel GMs can turn predictive analytics in travel into concrete staffing, pricing and operations decisions, beyond headline forecast accuracy claims.
Predictive & Prescriptive Analytics • 11/05/2026 The 15-minute repricing question: how to run a dynamic pricing loop without destroying rate parity AI engines now reprice hotel rooms every 15 minutes. Learn how revenue leaders run dynamic pricing at scale without breaking parity, contracts or guest trust.
Predictive & Prescriptive Analytics • 21/04/2026 Mews Business Intelligence lands inside the PMS: the end of the standalone hotel BI layer? Explore how embedded hotel business intelligence AI inside PMS platforms compares with dedicated BI stacks, including trade-offs, implementation timelines, vendor-claimed accuracy figures and strategies to future-proof your hospitality tech stack. by Kai Sullivan
Predictive & Prescriptive Analytics • 22/04/2026 Summer 2026 pricing: the AI-assisted playbook for April revenue teams Learn how AI-led summer hotel pricing strategies, dynamic forecasting, and price fences help hotels maximise revenue, with quantified benchmarks from Cornell, HSMAI, HITEC, IDeaS and Duetto. by Aurelia Caldwell
Digital Transformation • 25/01/2026 How hotels are transforming guest experiences and revenue with big data analytics Explore how hotels are transforming guest experiences and revenue with big data analytics, machine learning, and real-time data in the hospitality industry. by Ravi Chandra
